首页|月球物理天平动参数的时变分析及精密预报

月球物理天平动参数的时变分析及精密预报

扫码查看
月球天平动是月球在空间中偏离理想情况的实际摆动,与月球坐标系的建立、地月坐标系转换和月球着陆器的定位息息相关,也在一定程度上揭示了月球内部结构和物理性质.目前,月球天平动参数的预报主要基于JPL星历模型数据,预报结果精度较低.本文基于"嫦娥三号"着陆器的实测数据,开展天平动参数精密预报方法的研究.首先,针对傅里叶变换局部分辨率较低的问题,采用小波分解和快速傅里叶变换相结合,提取出月球天平动周期项共11项;确认了月球天平动的周期项不仅受到太阳和地球的引力影响,还与月震具有相关性.然后,在提取周期项的基础上,分别利用ARIMA模型和正弦函数拟合对月球天平动参数进行预报;结果表明ARIMA模型仅适合短期预报,而正弦函数分频拟合是精度更高的预报方法.
Time-Varying Analysis and Precise Prediction of Lunar Physical Libration Parameters
Lunar libration is the actual oscillations of the Moon in space,deviating from the ideal situation. They are closely related to the establishment of the lunar coordinate sys-tem,the conversion between the lunar and terrestrial coordi-nate systems,and the positioning of lunar landers. They also reveal to some extent the internal structure and physical prop-erties of the Moon. Currently,the prediction of lunar libra-tions is mainly based on JPL ephemeris model data,but the accuracy of the predictions is low. This study is based on the measured data from the Chang'e 3 lunar lander to investigate the prediction method for lunar librations. To address the is-sue of low local resolution in Fourier transform,a combina-tion of wavelet decomposition and fast Fourier transform is used to extract a total of 11 periodic terms of lunar librations. Furthermore,it is confirmed that the periodic terms of lunar li-brations are not only influenced by the gravity of the Sun and Earth but also related to lunar seismic activity. Based on the extracted periodic terms,both the ARIMA model and sine function fitting are employed to predict lunar librations. The results indicate that the ARIMA model is only suitable for short-term predictions,while the sine function fitting with fre-quency division is the batter predictions method.

lunar librationperiodic signalARIMAtime-varying analysissinusoidal function

魏二虎、李岩林、黄逸丹、魏泽昱、刘经南

展开 >

武汉大学测绘学院,湖北武汉,430079

中国科学院上海天文台,上海,200030

武汉大学卫星导航定位技术研究中心,湖北武汉,430079

月球天平动 周期性信号 ARIMA 时变分析 正弦函数

国家自然科学基金国家重点研发计划

423740152018YFC1503600

2024

测绘地理信息
武汉大学

测绘地理信息

CSTPCD
影响因子:0.563
ISSN:1007-3817
年,卷(期):2024.49(5)
  • 12